Update README.md
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README.md
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@@ -10,4 +10,94 @@ pipeline_tag: text-to-image
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library_name: diffusers
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tags:
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- diffusion-single-file
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-
---
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library_name: diffusers
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tags:
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- diffusion-single-file
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---
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For more information (including how to compress models yourself), check out https://huggingface.co/DFloat11 and https://github.com/LeanModels/DFloat11
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Feel free to request for other models for compression as well (for either the `diffusers` library, ComfyUI, or any other model), although models that use architectures which are unfamiliar to me might be more difficult.
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### How to Use
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#### `diffusers`
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```python
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import torch
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from diffusers import ZImagePipeline, ZImageTransformer2DModel
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from dfloat11 import DFloat11Model
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from transformers.modeling_utils import no_init_weights
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text_encoder = DFloat11Model.from_pretrained("DFloat11/Qwen3-4B-DF11", device="cpu")
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with no_init_weights():
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transformer = ZImageTransformer2DModel.from_config(
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ZImageTransformer2DModel.load_config(
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"Tongyi-MAI/Z-Image", subfolder="transformer"
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),
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torch_dtype=torch.bfloat16
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).to(torch.bfloat16)
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DFloat11Model.from_pretrained("mingyi456/Z-Image-DF11", device="cpu", bfloat16_model=transformer)
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pipe = ZImagePipeline.from_pretrained(
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"Tongyi-MAI/Z-Image",
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text_encoder=text_encoder,
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transformer=transformer,
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torch_dtype=torch.bfloat16,
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low_cpu_mem_usage=False,
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)
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pipe.to("cuda")
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prompt = "两名年轻亚裔女性紧密站在一起,背景为朴素的灰色纹理墙面,可能是室内地毯地面。左侧女性留着长卷发,身穿藏青色毛衣,左袖有奶油色褶皱装饰,内搭白色立领衬衫,下身白色裤子;佩戴小巧金色耳钉,双臂交叉于背后。右侧女性留直肩长发,身穿奶油色卫衣,胸前印有“Tun the tables”字样,下方为“New ideas”,搭配白色裤子;佩戴银色小环耳环,双臂交叉于胸前。两人均面带微笑直视镜头。照片,自然光照明,柔和阴影,以藏青、奶油白为主的中性色调,休闲时尚摄影,中等景深,面部和上半身对焦清晰,姿态放松,表情友好,室内环境,地毯地面,纯色背景。"
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negative_prompt = "" # Optional, but would be powerful when you want to remove some unwanted content
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image = pipe(
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prompt=prompt,
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negative_prompt=negative_prompt,
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height=1280,
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width=720,
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cfg_normalization=False,
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num_inference_steps=50,
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guidance_scale=4,
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generator=torch.Generator("cuda").manual_seed(42),
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).images[0]
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image.save("example.png")
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```
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#### ComfyUI
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Refer to this [model](https://huggingface.co/mingyi456/Z-Image-DF11-ComfyUI) instead.
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### Compression details
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This is the `pattern_dict` for compression:
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```python
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pattern_dict = {
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r"noise_refiner\.\d+": (
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"attention.to_q",
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"attention.to_k",
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"attention.to_v",
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"attention.to_out.0",
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"feed_forward.w1",
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"feed_forward.w2",
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"feed_forward.w3",
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"adaLN_modulation.0"
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),
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r"context_refiner\.\d+": (
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"attention.to_q",
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"attention.to_k",
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"attention.to_v",
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"attention.to_out.0",
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"feed_forward.w1",
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"feed_forward.w2",
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"feed_forward.w3",
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),
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r"layers\.\d+": (
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"attention.to_q",
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"attention.to_k",
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"attention.to_v",
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"attention.to_out.0",
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"feed_forward.w1",
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"feed_forward.w2",
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"feed_forward.w3",
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"adaLN_modulation.0"
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),
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r"cap_embedder": (
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"1",
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)
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}
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```
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